Senior Deep Learning Compiler Engineer

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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIA N, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world We are looking for a Deep Learning Compiler Engineer. NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in many areas, e.g. large language models, generative AIs, recommendation systems, image classification, speech recognition, etc. Our DLC has been the backbone of NVIDIA inference engine, spanning across data centers, personal devices, automotive, and robotics. The compiler must deliver leading inference performance, fast build time, reduced memory footprints, and ease of use in the forms of both Ahead-of-Tine and Just-in-Time. Join the team building the DLC which will be used by the entire deep learning community. What you'll be doing: Analyzing deep learning networks and developing compiler optimization algorithms. Collaborating with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software. Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler infrastructure techniques for neural networks, and other general software engineering work. What we need to see: Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience 3+ years of relevant work or research experience in performance analysis and compiler optimizations. Ability to work independently, define project goals and scope, and lead your own development efforts. Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design. Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team. Ways to stand out from the crowd: Proficient in CPU and/or GPU architecture. CUDA or OpenCL programming experience. Experiences in systems with constrained resources, such as embedded platforms, small memory size, and cross compilation. Experience with the following technologies: MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as PyTorch. GPU kernel generation with high performance and fast build time. A track record of success in mentoring junior engineers and interns is a bonus. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until May 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highl

NVIDIA 致力于变革计算机图形、PC 游戏和加速计算领域已超过 25 年。这是一份独特的创新传承，由卓越的技术和杰出的人才共同驱动。如今，我们正在挖掘 AI 的无限潜力，以定义下一个计算时代。在这个时代，我们的 GPU 将成为计算机、机器人和自动驾驶汽车的大脑，使它们能够理解世界。做前所未有的事情需要远见、创新和世界上最优秀的人才。作为 NVIDIA 的一员，您将沉浸在一个多元、支持性的环境中，每个人都被激励着发挥最佳水平。加入团队，看看您如何对世界产生持久的影响。我们正在寻找一名深度学习编译器工程师。NVIDIA 正在为其深度学习编译器（DLC）团队招聘软件工程师。世界各地的学术和商业团体正在使用 GPU 推动深度学习的革命，在大型语言模型、生成式 AI、推荐系统、图像分类、语音识别等许多领域实现突破。我们的 DLC 一直是 NVIDIA 推理引擎的骨干，涵盖数据中心、个人设备、汽车和机器人领域。编译器必须以 Ahead-of-Time 和 Just-in-Time 两种形式提供领先的推理性能、快速构建时间、减少的内存占用和易用性。加入构建 DLC 的团队，它将服务于整个深度学习社区。您将要做的工作：分析深度学习网络并开发编译器优化算法。与深度学习软件框架团队和硬件架构团队的成员合作，加速下一代深度学习软件。这些工作的范围包括定义公共 API、性能优化和分析、为神经网络构建和实施编译器基础设施技术，以及其他通用软件工程工作。我们需要看到的：计算机科学、计算机工程、相关领域的学士、硕士或博士学位，或同等经验。3 年以上在性能分析和编译器优化方面的相关工作经验或研究经验。能够独立工作，定义项目目标和范围，并领导自己的开发工作。优秀的 C/C++ 和 Python 编程及软件设计能力，包括调试、性能分析和测试设计。需要较强的人际交往能力，以及在动态的产品导向团队中工作的能力。脱颖而出的方式：精通 CPU 和/或 GPU 架构。具有 CUDA 或 OpenCL 编程经验。具有资源受限系统的经验，如嵌入式平台、小内存和交叉编译。具有以下技术的经验：MLIR、XLA、TVM、LLVM、深度学习模型和算法，以及深度学习框架，如 PyTorch。高性能和快速构建时间的 GPU 内核生成。有指导初级工程师和实习生的成功记录者优先。凭借极具竞争力的薪资和全面的福利待遇，NVIDIA 被广泛认为是技术行业最受欢迎的雇主之一。我们拥有世界上最聪明、最勤奋的人才与我们共事，我们的产品线在虚拟现实、人工智能、深度学习和自动驾驶汽车等最热门的前沿领域快速增长。您的基本工资将根据您的地点、经验以及类似职位员工的薪酬来确定。基本工资范围为 152,000 美元 - 241,500 美元。您还将有资格获得股权和福利。该职位的申请将至少接受至 2026 年 5 月 4 日。此职位为现有空缺。NVIDIA 在其招聘流程中使用 AI 工具。NVIDIA 致力于营造多元的工作环境，并自豪地成为平等机会雇主。正如我们强调的

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